Copertina

MICRO: A Lightweight Middleware for Optimizing Cross-store Cross-model Graph-Relation Joins [Technical Report]

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zheng, Xiuwen, Kumar, Arun, Gupta, Amarnath
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Databases Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimizing Context-Enhanced Relational Joins
di: Sanca, Viktor, et al.
Pubblicazione: (2023)

Feasible Plan Generation with Ambiguity-Boundedness in Cross-Model Query Processing
di: Dasgupta, Subhasis, et al.
Pubblicazione: (2026)

Gradient-Based Join Ordering
di: Schwabe, Tim, et al.
Pubblicazione: (2025)

Sketched Sum-Product Networks for Joins
di: Tsan, Brian, et al.
Pubblicazione: (2025)

Implementing Semantic Join Operators Efficiently
di: Trummer, Immanuel
Pubblicazione: (2025)

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
di: Strausz, András, et al.
Pubblicazione: (2025)

The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
di: Chandra, Joydeep, et al.
Pubblicazione: (2025)

Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
di: Sun, Yushi, et al.
Pubblicazione: (2024)

InferF: Declarative Factorization of AI/ML Inferences over Joins
di: Chowdhury, Kanchan, et al.
Pubblicazione: (2025)

Gaussian Relational Graph Transformer
di: Ding, Zezhong, et al.
Pubblicazione: (2026)

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
di: Zeng, Tianjing, et al.
Pubblicazione: (2024)

Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
di: He, Chaowei, et al.
Pubblicazione: (2025)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
di: Wang, Minjie, et al.
Pubblicazione: (2024)

Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
di: Franz, Maja, et al.
Pubblicazione: (2024)

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
di: Qiao, Lianpeng, et al.
Pubblicazione: (2025)

Optimizing LLM Queries in Relational Data Analytics Workloads
di: Liu, Shu, et al.
Pubblicazione: (2024)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
di: Gao, Xinyi, et al.
Pubblicazione: (2025)

Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
di: Bărbulescu, George-Octavian, et al.
Pubblicazione: (2024)

Relational Graph Transformer
di: Dwivedi, Vijay Prakash, et al.
Pubblicazione: (2025)

Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
di: Kwon, Sein, et al.
Pubblicazione: (2025)

Cross-Model Consistency of Feature Importance in Electrospinning: Separating Robust from Model-Dependent Features
di: Mahdian, Mehrab, et al.
Pubblicazione: (2026)

Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying
di: Li, Shengqi, et al.
Pubblicazione: (2026)

Cross-Modal Entity Matching for Visually Rich Documents
di: Sarkhel, Ritesh, et al.
Pubblicazione: (2023)

RELATE: A Schema-Agnostic Perceiver Encoder for Multimodal Relational Graphs
di: Meyer, Joe, et al.
Pubblicazione: (2025)

CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
di: Rathuwadu, Lankadinee, et al.
Pubblicazione: (2025)

Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically
di: Duan, Jiawei, et al.
Pubblicazione: (2025)

A Lightweight Learned Cardinality Estimation Model
di: Zhu, Yaoyu, et al.
Pubblicazione: (2025)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
di: Zheng, Zhiyuan, et al.
Pubblicazione: (2025)

Graph Neural Networks on Graph Databases
di: Lopushanskyy, Dmytro, et al.
Pubblicazione: (2024)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
di: Li, Jiayu, et al.
Pubblicazione: (2023)

Cross-table Synthetic Tabular Data Detection
di: Kindji, G. Charbel N., et al.
Pubblicazione: (2024)

REDELEX: A Framework for Relational Deep Learning Exploration
di: Peleška, Jakub, et al.
Pubblicazione: (2025)

Lightweight Correlation-Aware Table Compression
di: Stoian, Mihail, et al.
Pubblicazione: (2024)

Griffin: Towards a Graph-Centric Relational Database Foundation Model
di: Wang, Yanbo, et al.
Pubblicazione: (2025)

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
di: He, Yunjie, et al.
Pubblicazione: (2023)

A Self-Explainable Heterogeneous GNN for Relational Deep Learning
di: Ferrini, Francesco, et al.
Pubblicazione: (2024)

Effective Clustering for Large Multi-Relational Graphs
di: Lin, Xiaoyang, et al.
Pubblicazione: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
di: Chen, Tianyi, et al.
Pubblicazione: (2025)

CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
di: Chronis, Yannis, et al.
Pubblicazione: (2024)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
di: Zhu, Qiuyu, et al.
Pubblicazione: (2024)